TOMLParams: TOML-based parameter files made better

Posted on Sun 16 July 2023 in TDDA • Tagged with TDDA, reproducibility

TOMLParams is a new open-source library that helps Python developers to externalize parameters in TOML files. This post will explain why storing parameters in non-code files is beneficial (including for reproducibility), why TOML was chosen, and some of the useful features of the library, which include structured sets of parameters …

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TDDA on the Coding for Thought Podcast

Posted on Tue 11 July 2023 in TDDA • Tagged with podcast, TDDA

I had the pleasure of discussing TDDA with Peter Schmidt on his Coding for Thought podcast.

I think it came out really well, so this might be a nice way for people to learn about the ideas and motivations for the ideas and the library, which Simon Brown, Sam Rhynas …

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Installation

Posted on Thu 24 October 2019 in TDDA • Tagged with tdda, python, installation

This post is a standing post that we plan to try to keep up to date, describing options for obtaining the open-source Python TDDA library that we maintain.

Using pip from PyPI

If you don't need source, and have Python installed, the easiest way to get the TDDA library is …

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Rexpy for Generating Regular Expressions: Postcodes

Posted on Wed 20 February 2019 in TDDA • Tagged with regular expressions, rexpy, tdda

Rexpy is a powerful tool we created that generates regular expressions from examples. It's available online at https://rexpy.herokuapp.com and forms part of our open-source TDDA library.

Miró users can use the built-in rex command.

This post illustrates using Rexpy to find regular expressions for UK postcodes.

A …

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Our Approach to Data Provenance

Posted on Tue 12 December 2017 in TDDA • Tagged with data lineage, data provenance, data governance, tdda, constraints, miro

NEW DATA GOVERNANCE RULES: — We need to track data provenance. — No problem! We do that already! — We do? — We do! — (thinks) Results2017_final_FINAL3-revised.xlsx

Our previous post introduced the idea of data provenance (a.k.a. data lineage), which has been discussed on a couple of podcasts recently. This is an issue that is close to our hearts at Stochastic Solutions. Here, we'll talk about how we handle this issue, both methodologically and in …

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